Aims and scope

The International Journal of Control, Automation, and Systems (IJCAS) is an international publication that focuses on control engineering, automation, and systems. The journal serves as a platform for researchers, engineers, and academics to publish their original and innovative works and promote the latest advancements and research in these fields. The editorship team values manuscripts that feature a strong practical motivation and exhibit high-clarity exposition.

The journal covers a wide range of topics that includes the theory and applications in automatic control, as well as theory, application and experimentation of robotics. Additionally, the journal features research on artificial intelligence for engineered systems in the context of control, automation and robotics.

Special Issue on Healthcare Intelligent Control Systems: Trends, Design, and Applications
截稿日期: 2024-11-15

In recent years, the healthcare has witnessed significant technological advancements, leading to the emergence of healthcare intelligent control systems. These systems use artificial intelligence (AI), machine learning (ML), and big data analysis to automate and optimize various healthcare processes. According to statistics, AI in the healthcare is growing at a rate of 48% annually (from 2017 to 2023). Healthcare intelligent control systems have the potential to revolutionize healthcare services, enhance patient prognosis, and improve operational efficiency.

Healthcare intelligent control systems have become essential in healthcare due to their ability to enhance patient care, improve operational efficiency, and ensure patient safety. These systems analyze patient data in real-time, enabling healthcare providers to make accurate and timely diagnoses. Additionally, they remotely monitor patients, provide ongoing care, and detect potential health issues early. The automation of routine tasks in healthcare intelligent control systems, such as appointment scheduling and data input, frees up time for healthcare professionals to perform more critical tasks, enabling proactive decision-making and resource planning. Furthermore, these systems can identify and prevent drug errors by cross-referencing patient data, drug interactions, and allergic reactions. In summary, healthcare intelligent control systems can improve the quality of medical care, reduce the risk of errors and treatment delays, and enhance the treatment effectiveness and satisfaction of patients.

This special issue aims to explore the trends, designs, and applications of healthcare intelligent control systems, in order to promote the intelligent development of the healthcare field. The healthcare intelligent control system combines artificial intelligence and control technology, and can play an important role in medical robots, medical equipment, and medical processes. This special issue welcomes the latest research results and application cases on healthcare intelligent control systems, including but not limited to the following topics:

a) Intelligent control and operation of medical robots
b) Automation control and optimization of medical equipment
c) Intelligent management and optimization of medical processes
d) Intelligent analysis and decision support of medical data
e) Wearable health technology and remote monitoring
f) Remote healthcare and virtual healthcare
g) Security and reliability of healthcare intelligent control systems
h) Human-machine interaction and user experience of healthcare intelligent control systems
i) Real time monitoring and feedback control of healthcare intelligent control systems
j) The application of healthcare intelligent control systems in surgery, rehabilitation, and diagnosis

Special Issue on Advancements in Safety-Critical Control for Autonomous Intelligent Systems
截稿日期: 2024-12-31

In recent years, the rapid advancements in artificial intelligence (AI), robotics, and automation technologies have led to the emergence of intelligent automation systems with unprecedented capabilities. These systems, including automated storage and retrieval systems, self-driving vehicles, and various types of autonomous robots, have the potential to revolutionize industries and everyday life. However, the autonomous operation of these systems introduces new challenges, particularly in ensuring their safety and reliability, which are crucial for their widespread adoption and acceptance.

The aim of this special issue is to address these challenges by focusing on "Advancements in Safety-Critical Control for Autonomous Intelligent Systems." The primary motivation behind this special issue is to provide a platform for researchers and practitioners to share insights, methodologies, and innovative solutions aimed at enhancing the safety and reliability of intelligent automation systems. By bringing together experts from the fields of control, robotics, and AI, this special issue seeks to advance the state-of-the-art in safety-critical control and contribute to the development of safer and more reliable autonomous systems.

The topics of interest within the scope of this Special Issue include (but are not limited to) the following:

• Intelligent fault detection and fault-tolerant control of intelligent automation systems.
• Reliability and traceability of decision-making for intelligent automation systems.
• Risk assessment of artificial intelligence (AI)-based automation systems.
• Model-based safety and cybersecurity assessment of intelligent automation system.
• Ethical framework for designing automation systems.
• Interests and risks of learning-based control.
• Conflict detection and resolution of intelligent automation systems.
• Safety- and security-related issues.
• Functional safety and system security in automation systems
• Human-robot collaboration-Risk assessment of intelligent automation
• Design, development, validation, and applications of intelligent automation systems (e.g., unmanned ground vehicles (UGV), unmanned aerial vehicles (UAV), unmanned underwater vehicles (UUV)).